class_docstr: A class for checking if a neural network satisfies constraints. 
docstr: Checks if the constraints of the child class are satisfied. 
docstr_tok: ["Checks","if","the","constraints","of","the","child","class","are","satisfied","."]
code: def _child_constraints_are_satisfied(self, nn):
      """Checks if the constraints of the child class are satisfied."""
      raise NotImplementedError("Implement in a child class.")
  
imports: import numpy
  from copy import copy
  from ..exd.domains import Domain
label_desc: Use image node_id 6 for calling the NNConstraintChecker obj's underlying member method code with example usage: obj._child_constraints_are_satisfied(nn) without return types